DAYANA ALCONZ

Data scientist passionate about transforming
data into intelligent solutions

Hi, I’m Dayana, a Data Scientist passionate about turning complex datasets into smart strategies.

Numbers have always been my language—my love for mathematics started in childhood, and by my first year of secondary school, I was solving equations just for fun. This passion led me to study Statistics and Business at UC3M and later specialize with a Master’s in Data Science.

I specialize in Business & Customer Intelligence, predictive modeling, and process optimization, bridging the gap between technical analysis and strategic decision-making. My experience in finance, insurance, human resources, and recruitment has sharpened my problem-solving skills, allowing me to thrive in fast-paced, high-impact environments.

  • I don’t just analyze data—I make it speak, tell stories, and drive results. Whether it’s optimizing processes, uncovering hidden patterns, or building predictive models, I love transforming raw data into valuable, actionable insights. I’m actively seeking opportunities in Data Science, Data Engineering, and Data Analysis to apply my skills in real-world challenges and contribute to data-driven decision-making.

ABOUT ME

BEYOND DATA

Let’s Connect!

If you're looking for a data-driven professional with a creative edge
and a passion for innovation, let’s talk!


I’m curious, ambitious, and always up for a challenge. I love traveling and have explored Spain, France, Italy, Portugal, Morocco, Argentina, and Ecuador (Greece is still on my list—thanks to Mamma Mia!). In my free time, you’ll find me boxing, dancing, painting, or getting lost in classic literature (Pride and Prejudice is my weakness!). I also believe in giving back to the community through volunteering.


  • I thrive on projects that excite me and make me lose track of time—like when I spent two days straight developing a Shiny app in R during my master’s, completely immersed in the process.

Universidad Carlos III - Madrid

  • Proficiency in advanced statistical analysis techniques, predictive modeling, and machine learning.
  • Skilled in advanced programming (R, Python) and processing large datasets.
  • Experience in developing supervised classification projects and optimizing statistical models.
  • Master's in Statistics for Data Science (English track)

2021-23

GRUPO COLÓN

  • Frontend: HTML5, CSS3, JavaScript, web usability, and accessibility.
  • Backend: Server-side programming, database access (SQL), API development, and distributed applications.
  • Deployment: Implementation, configuration, and maintenance of applications in network environments.
  • Course in Web Application Development with Web Technologies

2021

UNIVERSIDAD CARLOS III - MADRID

  • Training in applied statistics for business and finance.
  • Advanced skills in data analysis, optimization, and quality control.
  • Experience in programming and modeling applied to real-world contexts.
  • Bachelor's in Statistics and Business

2016-20

EDUCATION

EXPERIENCE

MENSAJEROSAD

I played a key role in optimizing financial processes, improving service coverage, and enhancing customer satisfaction. My work focused on data-driven decision-making and operational efficiency:


  • Optimized ETL processes for worker and user databases, enhancing query performance and accuracy.
  • Prepared detailed monthly revenue reports, providing key insights for financial strategies.
  • Reduced billing errors by implementing a control system, improving administrative efficiency.
  • Increased revenue by 20% by refining pricing structures and profit margins.
  • Expanded service coverage to rural areas by recruiting specialized personnel.
  • Improved customer satisfaction among vulnerable populations through tailored solutions.
  • Billing and Recruitment Specialist

2024-25

KPMG

I played a key role in ensuring regulatory compliance and improving financial transparency in the insurance sector. My work focused on data-driven validation and risk assessment to support strategic decision-making:


  • Reduced regulatory penalties by validating the ethics of policy cancellations, significantly decreasing fines.
  • Enhanced financial transparency by developing solvency analyses, enabling more informed decisions.
  • Strengthened risk assessment processes, improving regulatory compliance and audit readiness.
  • Finance and Insurance Consultant

2023

2022-2023

TENDAM

I leveraged data-driven strategies to enhance marketing efficiency and optimize campaign performance. My work focused on data analysis, process automation, and strategic decision-making:


  • Created monthly sales and campaign reports, providing valuable insights for marketing strategies.
  • Managed and optimized contact databases for newsletter campaigns, ensuring precise audience targeting.
  • Executed ETL processes in SQL and Salesforce, improving data processing and efficiency.
  • Reduced marketing costs by 15% by identifying ineffective SMS promotions through statistical analysis.
  • Boosted campaign efficiency by 50% by refining newsletter design based on data-driven insights.


This experience allowed me to develop strong analytical, technical, and strategic skills, bridging the gap between marketing and data science.

  • Customer Intelligence Analyst

2020

Instituto Big Data UC3M-Santander

I was part of a transformative project that leveraged machine learning to drive strategic business expansion in the insurance sector. My work focused on predictive modeling and data-driven insights to optimize market growth:


  • Built a supervised classification model to identify 20+ high-potential areas for expansion in Spain.
  • Designed and optimized ETL processes, ensuring efficient data extraction, transformation, and loading for predictive analysis.
  • Developed a predictive model to enhance policy acquisition strategies, improving targeting and conversion rates.
  • Data Scientist (intern)

SKILLS & PROFICIENCIES

  • lANGUAGES

Spanish (Native)

  • English B2 (Professional working proficiency) – Completed Master’s degree in English
  • competencies

Communication - Translate complex data insights into clear business strategies

Teamwork & Collaboration - Experienced in working with multidisciplinary teams to achieve project goals.

Problem Solving - Structured approach to addressing complex business challenges with data-driven solutions.

Adaptability - Quick learner, able to adapt to new technologies and business environments.

Continuous Learning - Passionate about expanding knowledge in data science through research and courses.

  • Analytical Thinking - Strong ability to analyze large datasets and extract meaningful patterns.
  • tECHNICAL sKILLS

Programming Languages - Python (Pandas, NumPy, SciPy, Scikit-Learn), R (RStudio, RMarkdown, Shiny), Java, PHP, SQL

Machine Learning & Analytics - Predictive Modeling, Supervised Learning, Classification, Customer Intelligence

ETL & Data Processing - Data Cleaning, Transformation, and Automation

Data Visualization - Tableau (Intermediate), Power BI (Intermediate), Matplotlib, Seaborn

Mathematics & Statistics - Descriptive & Inferential Statistics (Advanced), Linear Algebra, Probability

Tools - MS Office, Salesforce, HTML, CSS, Bootstrap

PROYECTS

  • Supervised classification:
    From functional data to
    multivariate data

Heavy tail distribution:

study and application in tides

  • maritime
  • FastMod: A Shiny Application
    for Data Processing and
    Modeling
  • dayanaalconzgomez@gmail.com
  • @dayana.alconz
  • 672 92 63 01

GET IN TOUCH

  • connect with me
  • Madrid, Spain

Data, dreams & creativity - let’s make it happen!